Introduction to causal inference and network analysis with applications in research and business.
The course is an introduction to the economic analysis through the study of elementary microeconomic principles. Consumer decisions and firm choices are presented and discussed to understand market based systems and, particularly, price formation and efficiency.
This course introduces students to linear regression and nonlinear models used in empirical economic analysis. Students will model simple applications using R statistical software on a variety of datasets.
Introduction to macroeconomic tools and models to analyze economic systems and key variables like GDP, employment, consumption, and inflation.
The course is an introduction to economic analysis through elementary microeconomics. Consumer decisions and firm choices are presented and discussed aiming at the understanding of a free market based system, particularly price formation and efficiency.